Customers frequently experience poor call quality due to varying network conditions and background noise.
Background Noise Cancellation (BNC)
Active Noise Cancellation (ANC), Digital Signal Processing (DSP), Signal-to-Noise Ratio (SNR), Multi-Vector Noise Suppression (MVNS)
Dramatically improves call clarity by reducing background noise, ensuring high-quality communication regardless of external conditions.
Increasing demand for voice-activated services and controls within network operations and customer service interfaces.
Speech Recognition (SR)
Automatic Speech Recognition (ASR), Voice User Interface (VUI), Speech-to-Text (STT), Hidden Markov Model(HMM), Deep Neural Network (DNN)
Enables efficient voice-controlled interfaces, enhancing user experience and operational efficiency with fast and accurate voice processing.
Security vulnerabilities in voice communication pose risks to user privacy and data security.
Speaker Voice Recognition (SVR)
Speaker Verification (SV), Speaker Identification(SI), Text-to-Speech (TTS), Mel-Frequency Cepstral Coefficients(MFCC)
Strengthens security measures by authenticating user identities via voice, providing a secure and personalized communication experience.
Telecommunications companies face challenges in handling and analyzing large volumes of call data for service improvement and compliance.
Data Management and Analytics
Offers advanced data analysis tools and services, enabling efficient handling, storage, and analysis of call data, which supports performance monitoring and compliance management.
As global operations expand, there is a need to support multiple languages in customer service and automated systems.
Multilingual Speech Recognition
Automatic Speech Recognition (ASR), Language Processing Algorithms
Facilitates communication across different languages, enhancing customer support and operational adaptability in diverse markets.